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Pengshan Cai

Pengshan Cai has 2 papers in our library, in 2022–2023, most of them on Question answering, Information retrieval & search; often with Alfio Gliozzo, Dakuo Wang, Fei Liu.

2 papers in our library · 2022–2023

OpenAlex · ORCID · Wikidata · h-index 6 · 20 works · 311 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 106 times in our library · ⭐ Paper Stars ranking: #5623

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢Capital OneTysons Corner · United States2026 · 4 paperscurrent🎓University of Massachusetts AmherstAmherst Center · United States2018–2023 · 9 papers🏢IBMArmonk · United States2022 · 2 papers🏛️Chinese Academy of SciencesBeijing · China2017 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 11The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 1 workComputer Science · 1 workArtificial Intelligence · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 workBiochemistry, Genetics and Molecular Biology · 1 workGeneral Health Professions · 1 workHealth Informatics · 1 workHealth Professions · 1 workMedicine · 1 workMolecular Biology · 1 work

🧭 Topics 2Research subjects and languages the work is about.Information retrieval & search · 1 workQuestion answering · 1 work

 Works by year

2020s

20231 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Re2G: Retrieve, Rerank, Generate (2022 · 184 citations)
    Retrieval-augmented generators such as RAG and REALM let a model draw on a large passage corpus instead of storing all its knowledge in parameters.
  2. PaniniQA: Enhancing Patient Education Through Interactive Question Answering (2023 · 24 citations)
    Patients leaving hospital often struggle to grasp or remember their discharge instructions, and their misreadings usually go uncorrected. PaniniQA addresses this with a chatbot that quizzes patients about their own instructions. It follows the Prompt–Evaluate–Expand–Repeat (P.E.E.R.) cycle from Dialogic Reading.

 Co-authors here

8 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 106 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

Updated

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